ArticleCell cycle (Georgetown, Tex.)2013
Unbiased transcriptome signature of in vivo cell proliferation reveals pro- and antiproliferative gene networks.
Article in Cell cycle (Georgetown, Tex.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 24 citations in OpenAlex.
- FOXM1 Signaling Network Transcriptionally Upregulates Expression of Proteins Involved in Mitotic Progression to Induce High Proliferation and Chromosomal Instability in Androgen Receptor-Low Triple-Negative Breast Cancer.International journal of molecular sciences · 2026Article
- E2F8-induced GRPEL2 promoted colorectal cancer progression via targeting TIGAR.Journal of translational medicine · 2025Article
- Transcription factor E2F8 is a therapeutic target in the basal-like subtype of breast cancer.Frontiers in oncology · 2023Article
- Article
- Efficient terminal erythroid differentiation requires the APC/C cofactor Cdh1 to limit replicative stress in erythroblasts.Scientific reports · 2022Article
- Gene repression through epigenetic modulation by PPARA enhances hepatocellular proliferation.iScience · 2022Article
- Pre-mitotic genome re-organisation bookends the B cell differentiation process.Nature communications · 2021Article
- Intricate Regulatory Mechanisms of the Anaphase-Promoting Complex/Cyclosome and Its Role in Chromatin Regulation.Frontiers in cell and developmental biology · 2021Review
- In silico APC/C substrate discovery reveals cell cycle-dependent degradation of UHRF1 and other chromatin regulators.PLoS biology · 2020Article
- Complex Cartography: Regulation of E2F Transcription Factors by Cyclin F and Ubiquitin.Trends in cell biology · 2020Review
- Cell cycle oscillators underlying orderly proteolysis of E2F8.Molecular biology of the cell · 2020Article
- Cryptochromes modulate E2F family transcription factors.Scientific reports · 2020Article
- The cell-cycle transcriptional network generates and transmits a pulse of transcription once each cell cycle.Cell cycle (Georgetown, Tex.) · 2019Article
- Identification of Drivers of Aneuploidy in Breast Tumors.Cell reports · 2018Article
- Synergistic functions of E2F7 and E2F8 are critical to suppress stress-induced skin cancer.Oncogene · 2017Article
- E2F8 is a Potential Therapeutic Target for Hepatocellular Carcinoma.Journal of Cancer · 2017Review
- Feedback regulation between atypical E2Fs and APC/CCdh1 coordinates cell cycle progression.EMBO reports · 2016Article
- Integrated Microfluidics for Protein Modification Discovery.Molecular & cellular proteomics : MCP · 2015Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Different types of mature B-cell lymphocytes are overall highly similar. Nevertheless, some B cells proliferate intensively, while others rarely do. Here, we demonstrate that a simple binary classification of gene expression in proliferating vs. resting B cells can identify, with remarkable selectivity, global in vivo regulators of the mammalian cell cycle, many of which are also post-translationally regulated by the APC/C E3 ligase. Consequently, we discover a novel regulatory network between the APC/C and the E2F transcription factors and discuss its potential impact on the G1-S transition of the cell cycle. In addition, by focusing on genes whose expression inversely correlates with proliferation, we demonstrate the inherent ability of our approach to also identify in vivo regulators of cell differentiation, cell survival, and other antiproliferative processes. Relying on data sets of wt, non-transgenic animals, our approach can be applied to other cell lineages and human data sets.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.